The Muscatine children's obesity data reanalysed using pattern mixture models

Ekholm, A. and Skinner, C. (1998) The Muscatine children's obesity data reanalysed using pattern mixture models. Journal of the Royal Statistical Society: Series C (Applied Statistics), 47, (2), 251-263.


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A set of longitudinal binary, partially incomplete, data on obesity among children in the USA is reanalysed. The multivariate Bernoulli distribution is parameterized by the univariate marginal probabilities and dependence ratios of all orders, which together support maximum likelihood inference. The temporal association of obesity is strong and complex but stationary. We fit a saturated model for the distribution of response patterns and find that non-response is missing completely at random for boys but that the probability of obesity is consistently higher among girls who provided incomplete records than among girls who provided complete records. We discuss the statistical and substantive features of, respectively, pattern mixture and selection models for this data set.

Item Type: Article
ISSNs: 0035-9254 (print)
Related URLs:
Keywords: cohort data, correlated binary data, dependence ratio, informative non-response, selection model
Subjects: H Social Sciences > HV Social pathology. Social and public welfare
H Social Sciences > HA Statistics
R Medicine > RJ Pediatrics > RJ101 Child Health. Child health services
Divisions : University Structure - Pre August 2011 > School of Social Sciences > Social Statistics
ePrint ID: 34676
Accepted Date and Publication Date:
Date Deposited: 08 May 2007
Last Modified: 27 Mar 2014 18:21

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